Serendah Lake View Resort

HS 348 Bandar Serendah, Serendah, Kampung Datuk Harun, 48200 Serendah, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

6 subsales grouped by size · Condo →

Median
RM 98,000
PSF
RM 103
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM 76,000
Level 5
850 sqft · RM 89 PSF
RM 130,000
Level 1
850 sqft · RM 153 PSF
RM 60,000
Level 3
850 sqft · RM 71 PSF
1,050 sqft
Condo
RM 125,000
Level 2
1,033 sqft · RM 121 PSF
RM 70,000
Level 5
1,033 sqft · RM 68 PSF
RM 120,000
Level 3
1,033 sqft · RM 116 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 98,000

RM 103 psf

Median transaction price

Serendah Lake View Resort
© OpenStreetMap · CARTO

HS 348 Bandar Serendah, Serendah, Kampung Datuk Harun, 48200 Serendah, Selangor, Malaysia

Maps

Serendah Lake View Resort in Hulu Selangor, Selangor recorded 6 subsale transactions in 2021, with a median price of RM 98K and a median price per square foot (PSF) of RM 103.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 98K, with most transactions falling within a stable range of RM 69K to RM 127K, and a typical market range of RM 86K to RM 110K.

Most transactions involved condominium/apartment, with minimal variety in property types.

Price per square foot shows a median of RM 103, though individual units vary from RM 73 to RM 133 in the core range. The broader market spans RM 85.27 to RM 120.27, indicating diverse property characteristics. A wider spread (IQR: RM 35.00) and deviation (MAD: RM 30) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.